SEM images of cobalt nitrate synthesised under different hydrothermal conditions. by Ning Zuo (17295415)

<b> </b> Energy efficiency and gas volume comparison. by Ning Zuo (17295415)

“…<div><p>Biogas energy derived from recycled algal biomass grown on wastewater could provide a sustainable pathway for a renewable future. This research investigates the chemical details of cobalt-catalysed pyrolysis integrated with methanogenic archaea co-anaerobic fermentation to improve biogas and methane generation from wastewater algae. …”

Model validation of kinetic parameters. by Ning Zuo (17295415)

“…<div><p>Biogas energy derived from recycled algal biomass grown on wastewater could provide a sustainable pathway for a renewable future. This research investigates the chemical details of cobalt-catalysed pyrolysis integrated with methanogenic archaea co-anaerobic fermentation to improve biogas and methane generation from wastewater algae. …”

A typical cross signalized intersection. by Bin Zhao (276445)

“…Based on the proposed feedback queueing network model, two optimization frameworks are established for traffic signal control, aimed at minimizing either the average vehicle delay time or total costs, including fuel consumption. We propose a rolling optimization strategy that incorporates the mesh adaptive direct search algorithm to achieve real-time traffic signal control. …”

SEM images of cobalt-based catalysts supported on Al₂O₃ at different magnifications. by Ning Zuo (17295415)

Baseline analysis, nominal factors. by Hiroaki Yoshikawa (4615801)

“…</p><p>Results</p><p>Our analysis revealed a significantly older age of onset in the 2018 cohort compared to 2006. …”

Minimal dataset for the study. by Hiroaki Yoshikawa (4615801)

“…</p><p>Results</p><p>Our analysis revealed a significantly older age of onset in the 2018 cohort compared to 2006. …”

Baseline analysis, continuous factors. by Hiroaki Yoshikawa (4615801)

“…</p><p>Results</p><p>Our analysis revealed a significantly older age of onset in the 2018 cohort compared to 2006. …”

Navigation error analysis. by Haichao Li (225035)

“…This work proposes the Screened Inertial Data Fusion Method (SIDFM), a novel framework that systematically screens LiDAR data using a minimal differential function and fuses it with IMU intervals through linear regression learning. …”

Summary of related works. by Haichao Li (225035)

“…This work proposes the Screened Inertial Data Fusion Method (SIDFM), a novel framework that systematically screens LiDAR data using a minimal differential function and fuses it with IMU intervals through linear regression learning. …”

Research methodology flow diagram. by Haichao Li (225035)

“…This work proposes the Screened Inertial Data Fusion Method (SIDFM), a novel framework that systematically screens LiDAR data using a minimal differential function and fuses it with IMU intervals through linear regression learning. …”

Positioning error analysis. by Haichao Li (225035)

“…This work proposes the Screened Inertial Data Fusion Method (SIDFM), a novel framework that systematically screens LiDAR data using a minimal differential function and fuses it with IMU intervals through linear regression learning. …”

Error-Bar graph. by Haichao Li (225035)

“…This work proposes the Screened Inertial Data Fusion Method (SIDFM), a novel framework that systematically screens LiDAR data using a minimal differential function and fuses it with IMU intervals through linear regression learning. …”

Multivariable analysis between 2006 and 2018. by Hiroaki Yoshikawa (4615801)

“…</p><p>Results</p><p>Our analysis revealed a significantly older age of onset in the 2018 cohort compared to 2006. …”

MRI grading systems’ diagnostic accuracy for MD. by Neda Azarpey (20308334)

“…Adjusting the threshold to EH grade 2 results in a sensitivity increase to 92.1% (CI: 85.9–95.7) and a specificity decrease to 70.6% (CI: 64.5–76.1), with a DOR of 28.056 (CI: 14.917–52.770). …”

MRI-based cochlear hydrops grading and PLE in MD. by Neda Azarpey (20308334)

“…Adjusting the threshold to EH grade 2 results in a sensitivity increase to 92.1% (CI: 85.9–95.7) and a specificity decrease to 70.6% (CI: 64.5–76.1), with a DOR of 28.056 (CI: 14.917–52.770). …”

Cochlear hydrops classification in MRI systems. by Neda Azarpey (20308334)

“…Adjusting the threshold to EH grade 2 results in a sensitivity increase to 92.1% (CI: 85.9–95.7) and a specificity decrease to 70.6% (CI: 64.5–76.1), with a DOR of 28.056 (CI: 14.917–52.770). …”

<i>In vivo</i> PK evaluation of WT BMP9 in naïve SD rats. by Tobias G. Schips (21799838)

Hemodynamic effects of WT BMP9 in rats. by Tobias G. Schips (21799838)

Characterization of systolic pulmonary arterial pressure (sPAP) of WT BMP9 in rats. by Tobias G. Schips (21799838)